Unknown

Dataset Information

0

AssemblX: a user-friendly toolkit for rapid and reliable multi-gene assemblies.


ABSTRACT: The assembly of large DNA constructs coding for entire pathways poses a major challenge in the field of synthetic biology. Here, we present AssemblX, a novel, user-friendly and highly efficient multi-gene assembly strategy. The software-assisted AssemblX process allows even unexperienced users to rapidly design, build and test DNA constructs with currently up to 25 functional units, from 75 or more subunits. At the gene level, AssemblX uses scar-free, overlap-based and sequence-independent methods, allowing the unrestricted design of transcriptional units without laborious parts domestication. The assembly into multi-gene modules is enabled via a standardized, highly efficient, polymerase chain reaction-free and virtually sequence-independent scheme, which relies on rare cutting restriction enzymes and optimized adapter sequences. Selection and marker switching strategies render the whole process reliable, rapid and very effective. The assembly product can be easily transferred to any desired expression host, making AssemblX useful for researchers from various fields.

SUBMITTER: Hochrein L 

PROVIDER: S-EPMC5449548 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

AssemblX: a user-friendly toolkit for rapid and reliable multi-gene assemblies.

Hochrein Lena L   Machens Fabian F   Gremmels Juergen J   Schulz Karina K   Messerschmidt Katrin K   Mueller-Roeber Bernd B  

Nucleic acids research 20170601 10


The assembly of large DNA constructs coding for entire pathways poses a major challenge in the field of synthetic biology. Here, we present AssemblX, a novel, user-friendly and highly efficient multi-gene assembly strategy. The software-assisted AssemblX process allows even unexperienced users to rapidly design, build and test DNA constructs with currently up to 25 functional units, from 75 or more subunits. At the gene level, AssemblX uses scar-free, overlap-based and sequence-independent metho  ...[more]

Similar Datasets

| S-EPMC8016464 | biostudies-literature
| S-EPMC4119685 | biostudies-literature
| S-EPMC6321606 | biostudies-literature
| S-EPMC6267562 | biostudies-literature
| S-EPMC6312546 | biostudies-literature
2013-06-13 | GSE40748 | GEO
| S-EPMC11226142 | biostudies-literature
2013-06-13 | E-GEOD-40748 | biostudies-arrayexpress
| S-EPMC8352501 | biostudies-literature